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Автор: Grafiati
Опубліковано: 14 березня 2023

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Статті в журналах з теми "Training set analysi"

1

Jumaniyazov, Anvarbek B. "PEDAGOGICAL ANALYSIS OF TRAINING IN PHYSICAL EDUCATION AND SPORTS MANAGEMENT." CURRENT RESEARCH JOURNAL OF PEDAGOGICS 03, no. 05 (May 1, 2022): 1–10. http://dx.doi.org/10.37547/pedagogics-crjp-03-05-01.

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Анотація:
Over the past three years, a number of positive steps have been taken in our country to modernize higher education, develop the social sphere and the economy based on advanced educational technologies and innovative scientific developments. In the Address of the President to the Oliy Majlis of January 24, 2020, a wide range of tasks were set for various ministries and departments. “... As we aim to turn Uzbekistan into a developed country, we can achieve this only through rapid reforms, education and innovation. To do this, first of all, we need to nurture a new generation of knowledgeable and qualified personnel who will emerge as enterprising reformers, think strategically.
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2

Kara, Gökhan, Ozan Hikmet Arıcan, and Olgay Okşaş. "Analysis of the Effect of Electronic Chart Display and Information System Simulation Technologies in Maritime Education." Marine Technology Society Journal 54, no. 3 (May 1, 2020): 43–57. http://dx.doi.org/10.4031/mtsj.54.3.6.

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Анотація:
AbstractAn accident that may occur during maritime transport has substantially tangible, intangible, and environmental consequences. Approximately 85% of accidents at sea depend on human and communication factors. Therefore, it is expected to prevent adverse events in advance and to determine the procedures to be followed with simulator trainings before navigation at sea. National and international agreements set a standard for seafarers' education programs. The use of the simulator is recommended according to the Standards of Training, Certification and Watchkeeping for Seafarers (STCW) for maritime training, which is in accordance with international standards. These training programs should be designed to improve seafarers' ability in order to make accurate decisions, think quickly, and find solutions. Developments in the field of technology have enabled a wide range of simulation applications in electronic devices. The studies have shown that the professional knowledge of students has been increased with simulator-based education in many professions. This article presents a comparison that was made between simulation training and theoretical education. Two hundred surveys were conducted for 100 maritime students who received Electronic Chart Display and Information System (ECDIS) simulation training. It is aimed to measure the effect of ECDIS computer simulators on educational efficiency and suggest the use of simulators for the training of maritime students.
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3

Wang, Jianzhong. "Mathematical analysis on out-of-sample extensions." International Journal of Wavelets, Multiresolution and Information Processing 16, no. 05 (September 2018): 1850042. http://dx.doi.org/10.1142/s021969131850042x.

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Анотація:
Let [Formula: see text] be a data set in [Formula: see text], where [Formula: see text] is the training set and [Formula: see text] is the test one. Many unsupervised learning algorithms based on kernel methods have been developed to provide dimensionality reduction (DR) embedding for a given training set [Formula: see text] ([Formula: see text]) that maps the high-dimensional data [Formula: see text] to its low-dimensional feature representation [Formula: see text]. However, these algorithms do not straightforwardly produce DR of the test set [Formula: see text]. An out-of-sample extension method provides DR of [Formula: see text] using an extension of the existent embedding [Formula: see text], instead of re-computing the DR embedding for the whole set [Formula: see text]. Among various out-of-sample DR extension methods, those based on Nyström approximation are very attractive. Many papers have developed such out-of-extension algorithms and shown their validity by numerical experiments. However, the mathematical theory for the DR extension still need further consideration. Utilizing the reproducing kernel Hilbert space (RKHS) theory, this paper develops a preliminary mathematical analysis on the out-of-sample DR extension operators. It treats an out-of-sample DR extension operator as an extension of the identity on the RKHS defined on [Formula: see text]. Then the Nyström-type DR extension turns out to be an orthogonal projection. In the paper, we also present the conditions for the exact DR extension and give the estimate for the error of the extension.
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4

Pattnaik, Saumendra, and Binod Kumar Pattanayak. "Empirical analysis of software quality prediction using a TRAINBFG algorithm." International Journal of Engineering & Technology 7, no. 2.6 (March 11, 2018): 259. http://dx.doi.org/10.14419/ijet.v7i2.6.10780.

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Анотація:
Software quality plays a major role in software fault proneness. That’s why prediction of software quality is essential for measuring the anticipated faults present in the software. In this paper we have proposed a Neuro-Fuzzy model for prediction of probable values for a predefined set of software characteristics by virtue of using a rule base. In course of it, we have used several training algorithms among which TRAINBFG algorithm is observed to be the best one for the purpose. There are various training algorithm available in MATLAB for training the neural network input data set. The prediction using fuzzy logic and neural network provides better result in comparison with only neural network. We find out from our implementation that TRAINBFG algorithm can provide better predicted value as compared to other algorithm in MATLAB. We have validated this result using the tools like SPSS and MATLAB.
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5

KING, FOO SHOU, P. SARATCHANDRAN, and N. SUNDARARAJAN. "ANALYSIS OF TRAINING SET PARALLELISM FOR BACKPROPAGATION NEURAL NETWORKS." International Journal of Neural Systems 06, no. 01 (March 1995): 61–78. http://dx.doi.org/10.1142/s0129065795000068.

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Анотація:
Training set parallelism and network based parallelism are two popular paradigms for parallelizing a feedforward (artificial) neural network. Training set parallelism is particularly suited to feedforward neural networks with backpropagation learning where the size of the training set is large in relation to the size of the network. This paper analyzes training set parallelism for feedforward neural networks when implemented on a transputer array configured in a pipelined ring topology. Theoretical expressions for the time per epoch (iteration) and optimal size of a processor network are derived when the training set is equally distributed among the processing nodes. These show that the speed up is a function of the number of patterns per processor, communication overhead per epoch and the total number of processors in the topology. Further analysis of how to optimally distribute the training set on a given processor network when the number of patterns in the training set is not an integer multiple of the number of processors, is also carried out. It is shown that optimal allocation of patterns in such cases is a mixed integer programming problem. Using this analysis it is found that equal distribution of training patterns among the processors is not the optimal way to allocate the patterns even when the training set is an integer multiple of the number of processors. Extension of the analysis to processor networks comprising processors of different speeds is also carried out. Experimental results from a T805 transputer array are presented to verify all the theoretical results.
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6

Aliyuda, Kachalla, and John Howell. "Machine-learning algorithm for estimating oil-recovery factor using a combination of engineering and stratigraphic dependent parameters." Interpretation 7, no. 3 (August 1, 2019): SE151—SE159. http://dx.doi.org/10.1190/int-2018-0211.1.

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Анотація:
The methods used to estimate recovery factor change through the life cycle of a field. During appraisal, prior to development when there are no production data, we typically rely on analog fields and empirical methods. Given the absence of a perfect analog, these methods are typically associated with a wide range of uncertainty. During plateau, recovery factors are typically associated with simulation and dynamic modeling, whereas in later field life, once the field drops off the plateau, a decline curve analysis is also used. The use of different methods during different stages of the field life leads to uncertainty and potential inconsistencies in recovery estimates. A wide range of interacting, partially related, reservoir and production variables controls the production and recovery factor. Machine learning allows more complex multivariate analysis that can be used to investigate the roles of these variables using a training data set and then to ultimately predict future performance in fields. To investigate this approach, we used a data set consisting of producing reservoirs all of which are at plateau or in decline to train a series of machine-learning algorithms that can potentially predict the recovery factor with minimal percentage error. The database for this study consists of categorical and numerical properties for 93 reservoirs from the Norwegian Continental Shelf. Of these, 75 are from the Norwegian Sea, the Norwegian North Sea, and the Barents Sea, whereas the remaining 18 reservoirs are from the Viking Graben in the UK sector of the North Sea. The data set was divided into training and testing sets: The training set comprised approximately 80% of the total data, and the remaining 20% was the testing set. Linear regression models and a support vector machine (SVM) models were trained with all parameters in the data set (30 parameters); then with the 16 most influential parameters in the data set, the performance of these models was compared from results of fivefold crossvalidation. SVM training using a combination of 16 geologic/engineering parameters models with Gaussian kernel function has a root-mean-square error of 0.12, mean square error of 0.01, and [Formula: see text]-squared of 0.76. This model was tested on 18 reservoirs from the testing set; the test results are very similar to crossvalidation results during models training phase, suggesting that this method can potentially be used to predict the future recovery factor.
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7

Cohen, Albert, Wolfgang Dahmen, Ronald DeVore, and James Nichols. "Reduced Basis Greedy Selection Using Random Training Sets." ESAIM: Mathematical Modelling and Numerical Analysis 54, no. 5 (July 16, 2020): 1509–24. http://dx.doi.org/10.1051/m2an/2020004.

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Анотація:
Reduced bases have been introduced for the approximation of parametrized PDEs in applications where many online queries are required. Their numerical efficiency for such problems has been theoretically confirmed in Binev et al. (SIAM J. Math. Anal. 43 (2011) 1457–1472) and DeVore et al. (Constructive Approximation 37 (2013) 455–466), where it is shown that the reduced basis space Vn of dimension n, constructed by a certain greedy strategy, has approximation error similar to that of the optimal space associated to the Kolmogorov n-width of the solution manifold. The greedy construction of the reduced basis space is performed in an offline stage which requires at each step a maximization of the current error over the parameter space. For the purpose of numerical computation, this maximization is performed over a finite training set obtained through a discretization of the parameter domain. To guarantee a final approximation error ε for the space generated by the greedy algorithm requires in principle that the snapshots associated to this training set constitute an approximation net for the solution manifold with accuracy of order ε. Hence, the size of the training set is the ε covering number for M and this covering number typically behaves like exp(Cε−1/s) for some C > 0 when the solution manifold has n-width decay O(n−s). Thus, the shear size of the training set prohibits implementation of the algorithm when ε is small. The main result of this paper shows that, if one is willing to accept results which hold with high probability, rather than with certainty, then for a large class of relevant problems one may replace the fine discretization by a random training set of size polynomial in ε−1. Our proof of this fact is established by using inverse inequalities for polynomials in high dimensions.
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8

Embros, Grzegorz. "Audyt zachowań jako narzędzie systemu zarządzania bezpieczeństwem i higieną pracy." Studia Ecologiae et Bioethicae 7, no. 1 (June 30, 2009): 165–79. http://dx.doi.org/10.21697/seb.2009.7.1.11.

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Анотація:
In the article there were presented general assumptions concerning employees’ hazardous behaviour modification programme with use of a behavioural audit. The author depicted a method of the audit conduct underlining the meaning of a dialogue with an employee for proper identification of reasons for hazardous behaviours. Therefore, a crucial role of auditors’ selection and training was emphasised for they deliver data for further analysis. The quality of data obtained in the behaviour and work conditions observation process is vital for the programme success. Consequently, periodic trainings for behavioural auditors need to be carried out to deepen their knowledge and improve the methods of auditing.
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9

Núñez, Sergio, Daniel Borrajo, and Carlos Linares López. "Performance Analysis of Planning Portfolios." Proceedings of the International Symposium on Combinatorial Search 3, no. 1 (August 20, 2021): 65–71. http://dx.doi.org/10.1609/socs.v3i1.18238.

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In recent years the concept of sequential portfolio has become an important topic to improve the performance of modern problem solvers, such as SAT engines or planners. The PbP planner and more recently Fast Downward Stone Soup are successful approaches in Automated Planning that follow this trend. However, neither a theoretical analysis nor formal definitions about sequential portfolios have been described. In this paper, we focus on studying how to evaluate the performance of planners defining a baseline for a set of problems. We present a general method based on Mixed-Integer Programming to define the baseline for a training data set. In addition to prior work, we also introduce a short empirical analysis of the utility of training problems to configure sequential portfolios.
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10

Kozma, Gábor Viktor. "Actor Training as a Method of Directors. Training in Context of the Odin Teatret’s Creative Work and Higher Education." Studia Universitatis Babeş-Bolyai Dramatica 67, no. 2 (December 13, 2022): 29–45. http://dx.doi.org/10.24193/subbdrama.2022.2.02.

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Анотація:
"In my recent research, I am interested in investigating the logic of actor training practices in different approaches, such as the training of the Odin Teatret, the Suzuki Method, or the Viewpoints technique, trying to compare them and expose the training's common logic. The present paper focuses on the analysis of training at the Odin Teatret and tries to employ a deconstructive analytical technique to analyze this training according to a straightforward set of standards: (1) From where? – the context and history of the training practicing company (2) What? – a comparison of several concepts of training (3) When? – the scheduling of training inside the companies (4) For what? – the training's objectives and the ideal actor image they create (5) How? – the training tools. To set the stage for my article, I will first define the term “training” as I use it, then I will examine Odin Teatret’s methods, and lastly, based on all of these, I will summarize the notion of training as a directing method from an Eastern European perspective. Keywords: Actor’s training, Odin Teatret, education, Eugenio Barba."
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Більше джерел

Дисертації з теми "Training set analysi"

1

Demirel, Hasan. "Training set analysis for image-based facial feature detection." Thesis, Imperial College London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264934.

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2

Gambel, Ray, David Lundy, William Murphy, and Southmost Consulting. "Analysis of Transportation Alternatives for Ejection Seat Training." Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/7068.

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EMBA Project Report
EXECUTIVE SUMMARY Student Military Aviators who complete primary flight training at Training Wing FOUR and select jets for their advanced training track will require Naval Aviation Survival Training Program (NASTP) Class 1 training until the T-6B replaces the T-34C as the primary flight training aircraft. This Class 1 training instructs students in ejection seat equipment and procedures for emergency egress of their new aircraft. Of the eight available Aviation Survival Training Centers (ASTC) Training Wing FOUR sends its students exclusively to NAS Pensacola. Training Wing FOUR utilizes a TC-12B training aircraft for the logistical transport of students to and from Class 1 training approximately twice weekly, called the DJET. CDR Christian Schomaker, Training Wing FOUR Operations Officer, commissioned this study to provide an analysis of alternatives to the current method of transporting students. RECOMMENDED OPTIONS A. Provide all flight students Class 1 training at ASTC Pensacola, Florida while in Pensacola as part of the Aviation Preflight Indoctrination (API) curriculum prior to permanent change of station to Corpus Christ, Texas. B. Adjust the DJET flight schedule to a Sunday departure rather than a Friday departure, resulting in a $209.00 savings per student of per diem cost which amounts to approximately $21,000.00 per fiscal year. C. Readdress current local restrictions and classification of student naval aviators as aircrew to enable multi-engine student flight training on DJET flights. D. Consider utilizing other ASTC facilities; specifically, aligning the Class 1 ejection seat training with the required Centrifuge-based Flight Environment Training (CFET) at ASTC Lemoore.
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3

Wagle, John P., Aaron Cunanan, Kevin M. Carroll, Matt L. Sams, Alexander Wetmore, Garett E. Bingham, Christopher B. Taber, et al. "Accentuated Eccentric Loading and Cluster Set Configurations in the Back Squat: A Kinetic and Kinematic Analysis." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etsu-works/4666.

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Анотація:
This study examined the kinetic and kinematic differences between accentuated eccentric loading (AEL) and cluster sets in trained male subjects (age = 26.1 ± 4.1 years, height = 183.5 ± 4.3 cm, body mass = 92.5 ± 10.5 kg, and back squat to body mass ratio = 1.8 ± 0.3). Four load condition sessions consisted of traditionally loaded (TL) “straight sets,” TL cluster (TLC) sets, AEL cluster (AEC) sets, and AEL “straight sets” where only the first repetition had eccentric overload (AEL1). An interrepetition rest interval of 30 seconds was prescribed for both TLC and AEC. Concentric intensity for all load conditions was 80% 1 repetition maximum (1RM). Accentuated eccentric loading was applied to repetitions using weight releasers with total eccentric load equivalent to 105% of concentric 1RM. Traditionally loaded cluster had statistically greater concentric outputs than TL. Furthermore, statistically greater eccentric and concentric outputs were observed during AEC compared with TL with the exception of peak power. Statistically greater concentric characteristics were observed in TLC compared with AEL1, but statistically greater eccentric outputs were observed in AEL1. In the 2 cluster set conditions, statistically greater concentric rate of force development (RFDCON) (d = 0.470, p < 0.001) and average velocity (vavg) (d = 0.560, p < 0.001) in TLC compared with AEC were observed. However, statistically greater eccentric work (WECC) (d = 2.096, p < 0.001) and eccentric RFD (RFDECC) (d = 0.424, p < 0.001) were observed in AEC compared with TLC. Overall, eccentric overload demonstrated efficacy as a means of increasing eccentric work and RFD, but not as a means of potentiating concentric output. Finally, interrepetition rest seems to have the largest influence on concentric power output and RFD.
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4

Myburgh, Gerhard. "The impact of training set size and feature dimensionality on supervised object-based classification : a comparison of three classifiers." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/71655.

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Анотація:
Thesis (MSc)--Stellenbosch University, 2012.
ENGLISH ABSTRACT: Supervised classifiers are commonly used in remote sensing to extract land cover information. They are, however, limited in their ability to cost-effectively produce sufficiently accurate land cover maps. Various factors affect the accuracy of supervised classifiers. Notably, the number of available training samples is known to significantly influence classifier performance and to obtain a sufficient number of samples is not always practical. The support vector machine (SVM) does perform well with a limited number of training samples. But little research has been done to evaluate SVM’s performance for geographical object-based image analysis (GEOBIA). GEOBIA also allows the easy integration of additional features into the classification process, a factor which may significantly influence classification accuracies. As such, two experiments were developed and implemented in this research. The first compared the performances of object-based SVM, maximum likelihood (ML) and nearest neighbour (NN) classifiers using varying training set sizes. The effect of feature dimensionality on classifier accuracy was investigated in the second experiment. A SPOT 5 subscene and a four-class classification scheme were used. For the first experiment, training set sizes ranging from 4-20 per land cover class were tested. The performance of all the classifiers improved significantly as the training set size was increased. The ML classifier performed poorly when few (<10 per class) training samples were used and the NN classifier performed poorly compared to SVM throughout the experiment. SVM was the superior classifier for all training set sizes although ML achieved competitive results for sets of 12 or more training samples per class. Training sets were kept constant (20 and 10 samples per class) for the second experiment while an increasing number of features (1 to 22) were included. SVM consistently produced superior classification results. SVM and NN were not significantly (negatively) affected by an increase in feature dimensionality, but ML’s ability to perform under conditions of large feature dimensionalities and few training areas was limited. Further investigations using a variety of imagery types, classification schemes and additional features; finding optimal combinations of training set size and number of features; and determining the effect of specific features should prove valuable in developing more costeffective ways to process large volumes of satellite imagery. KEYWORDS Supervised classification, land cover, support vector machine, nearest neighbour classification maximum likelihood classification, geographic object-based image analysis
AFRIKAANSE OPSOMMING: Gerigte klassifiseerders word gereeld aangewend in afstandswaarneming om inligting oor landdekking te onttrek. Sulke klassifiseerders het egter beperkte vermoëns om akkurate landdekkingskaarte koste-effektief te produseer. Verskeie faktore het ʼn uitwerking op die akkuraatheid van gerigte klassifiseerders. Dit is veral bekend dat die getal beskikbare opleidingseenhede ʼn beduidende invloed op klassifiseerderakkuraatheid het en dit is nie altyd prakties om voldoende getalle te bekom nie. Die steunvektormasjien (SVM) werk goed met beperkte getalle opleidingseenhede. Min navorsing is egter gedoen om SVM se verrigting vir geografiese objek-gebaseerde beeldanalise (GEOBIA) te evalueer. GEOBIA vergemaklik die integrasie van addisionele kenmerke in die klassifikasie proses, ʼn faktor wat klassifikasie akkuraathede aansienlik kan beïnvloed. Twee eksperimente is gevolglik ontwikkel en geïmplementeer in hierdie navorsing. Die eerste eksperiment het objekgebaseerde SVM, maksimum waarskynlikheids- (ML) en naaste naburige (NN) klassifiseerders se verrigtings met verskillende groottes van opleidingstelle vergelyk. Die effek van kenmerkdimensionaliteit is in die tweede eksperiment ondersoek. ʼn SPOT 5 subbeeld en ʼn vier-klas klassifikasieskema is aangewend. Opleidingstelgroottes van 4-20 per landdekkingsklas is in die eerste eksperiment getoets. Die verrigting van die klassifiseerders het beduidend met ʼn toename in die grootte van die opleidingstelle verbeter. ML het swak presteer wanneer min (<10 per klas) opleidingseenhede gebruik is en NN het, in vergelyking met SVM, deurgaans swak presteer. SVM het die beste presteer vir alle groottes van opleidingstelle alhoewel ML kompeterend was vir stelle van 12 of meer opleidingseenhede per klas. Die grootte van die opleidingstelle is konstant gehou (20 en 10 eenhede per klas) in die tweede eksperiment waarin ʼn toenemende getal kenmerke (1 tot 22) toegevoeg is. SVM het deurgaans beter klassifikasieresultate gelewer. SVM en NN was nie beduidend (negatief) beïnvloed deur ʼn toename in kenmerkdimensionaliteit nie, maar ML se vermoë om te presteer onder toestande van groot kenmerkdimensionaliteite en min opleidingsareas was beperk. Verdere ondersoeke met ʼn verskeidenheid beelde, klassifikasie skemas en addisionele kenmerke; die vind van optimale kombinasies van opleidingstelgrootte en getal kenmerke; en die bepaling van die effek van spesifieke kenmerke sal waardevol wees in die ontwikkelling van meer koste effektiewe metodes om groot volumes satellietbeelde te prosesseer. TREFWOORDE Gerigte klassifikasie, landdekking, steunvektormasjien, naaste naburige klassifikasie, maksimum waarskynlikheidsklassifikasie, geografiese objekgebaseerde beeldanalise
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5

Gavino, Christopher C. "Cost effectiveness analysis of the "Sea to SWOS" training initiative on the Surface Warfare Officer qualification process." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Dec%5FGavino.pdf.

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Анотація:
Thesis (M.S. in Management)--Naval Postgraduate School, December 2002.
Thesis advisor(s): William R. Gates, William D. Hatch II. Includes bibliographical references (p. 69-73). Also available online.
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6

Orban, Sarah. "Do programs designed to train working memory, other executive functions, and attention benefit children with ADHD? A meta-analytic review of cognitive, academic, and behavioral outcomes." Master's thesis, University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5997.

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Анотація:
Children with ADHD are characterized frequently as possessing underdeveloped executive functions and sustained attentional abilities, and recent commercial claims suggest that computer-based cognitive training can remediate these impairments and provide significant and lasting improvement in their attention, impulse control, social functioning, academic performance, and complex reasoning skills. The present review critically evaluates these claims through meta-analysis of 25 studies of facilitative intervention training (i.e., cognitive training) for children with ADHD. Random effects models corrected for publication bias and sampling error revealed that studies training short-term memory alone resulted in moderate magnitude improvements in short-term memory (d= 0.63), whereas training attention did not significantly improve attention and training mixed executive functions did not significantly improve the targeted executive functions (both nonsignificant: 95% confidence intervals include 0.0). Far transfer effects of cognitive training on academic functioning, blinded ratings of behavior (both nonsignificant), and cognitive tests (d= 0.14) were nonsignificant or negligible. Unblinded raters (d= 0.48) reported significantly larger benefits relative to blinded raters and objective tests (both p < .05), indicating the likelihood of Hawthorne effects. Critical examination of training targets revealed incongruence with empirical evidence regarding the specific executive functions that are (a) most impaired in ADHD, and (b) functionally related to the behavioral and academic outcomes these training programs are intended to ameliorate. Collectively, meta-analytic results indicate that claims regarding the academic, behavioral, and cognitive benefits associated with extant cognitive training programs are unsupported in ADHD. The methodological limitations of the current evidence base, however, leaves open the possibility that cognitive training techniques designed to improve empirically documented executive function deficits may benefit children with ADHD.
M.S.
Masters
Psychology
Sciences
Psychology Clinical
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7

Madrigali, Andrea. "Analysis of Local Search Methods for 3D Data." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016.

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Анотація:
In questa tesi sono stati analizzati alcuni metodi di ricerca per dati 3D. Viene illustrata una panoramica generale sul campo della Computer Vision, sullo stato dell’arte dei sensori per l’acquisizione e su alcuni dei formati utilizzati per la descrizione di dati 3D. In seguito è stato fatto un approfondimento sulla 3D Object Recognition dove, oltre ad essere descritto l’intero processo di matching tra Local Features, è stata fatta una focalizzazione sulla fase di detection dei punti salienti. In particolare è stato analizzato un Learned Keypoint detector, basato su tecniche di apprendimento di machine learning. Quest ultimo viene illustrato con l’implementazione di due algoritmi di ricerca di vicini: uno esauriente (K-d tree) e uno approssimato (Radial Search). Sono state riportate infine alcune valutazioni sperimentali in termini di efficienza e velocità del detector implementato con diversi metodi di ricerca, mostrando l’effettivo miglioramento di performance senza una considerabile perdita di accuratezza con la ricerca approssimata.
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8

Makiou, Abdelhamid. "Sécurité des applications Web : Analyse, modélisation et détection des attaques par apprentissage automatique." Thesis, Paris, ENST, 2016. http://www.theses.fr/2016ENST0084/document.

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Les applications Web sont l’épine dorsale des systèmes d’information modernes. L’exposition sur Internet de ces applications engendre continuellement de nouvelles formes de menaces qui peuvent mettre en péril la sécurité de l’ensemble du système d’information. Pour parer à ces menaces, il existe des solutions robustes et riches en fonctionnalités. Ces solutions se basent sur des modèles de détection des attaques bien éprouvés, avec pour chaque modèle, des avantages et des limites. Nos travaux consistent à intégrer des fonctionnalités de plusieurs modèles dans une seule solution afin d’augmenter la capacité de détection. Pour atteindre cet objectif, nous définissons dans une première contribution, une classification des menaces adaptée au contexte des applications Web. Cette classification sert aussi à résoudre certains problèmes d’ordonnancement des opérations d’analyse lors de la phase de détection des attaques. Dans une seconde contribution, nous proposons une architecture de filtrage des attaques basée sur deux modèles d’analyse. Le premier est un module d’analyse comportementale, et le second utilise l’approche d’inspection par signature. Le principal défi à soulever avec cette architecture est d’adapter le modèle d’analyse comportementale au contexte des applications Web. Nous apportons des réponses à ce défi par l’utilisation d’une approche de modélisation des comportements malicieux. Ainsi, il est possible de construire pour chaque classe d’attaque son propre modèle de comportement anormal. Pour construire ces modèles, nous utilisons des classifieurs basés sur l’apprentissage automatique supervisé. Ces classifieurs utilisent des jeux de données d’apprentissage pour apprendre les comportements déviants de chaque classe d’attaques. Ainsi, un deuxième verrou en termes de disponibilité des données d’apprentissage a été levé. En effet, dans une dernière contribution, nous avons défini et conçu une plateforme de génération automatique des données d’entrainement. Les données générées par cette plateforme sont normalisées et catégorisées pour chaque classe d’attaques. Le modèle de génération des données d’apprentissage que nous avons développé est capable d’apprendre "de ses erreurs" d’une manière continue afin de produire des ensembles de données d’apprentissage de meilleure qualité
Web applications are the backbone of modern information systems. The Internet exposure of these applications continually generates new forms of threats that can jeopardize the security of the entire information system. To counter these threats, there are robust and feature-rich solutions. These solutions are based on well-proven attack detection models, with advantages and limitations for each model. Our work consists in integrating functionalities of several models into a single solution in order to increase the detection capacity. To achieve this objective, we define in a first contribution, a classification of the threats adapted to the context of the Web applications. This classification also serves to solve some problems of scheduling analysis operations during the detection phase of the attacks. In a second contribution, we propose an architecture of Web application firewall based on two analysis models. The first is a behavioral analysis module, and the second uses the signature inspection approach. The main challenge to be addressed with this architecture is to adapt the behavioral analysis model to the context of Web applications. We are responding to this challenge by using a modeling approach of malicious behavior. Thus, it is possible to construct for each attack class its own model of abnormal behavior. To construct these models, we use classifiers based on supervised machine learning. These classifiers use learning datasets to learn the deviant behaviors of each class of attacks. Thus, a second lock in terms of the availability of the learning data has been lifted. Indeed, in a final contribution, we defined and designed a platform for automatic generation of training datasets. The data generated by this platform is standardized and categorized for each class of attacks. The learning data generation model we have developed is able to learn "from its own errors" continuously in order to produce higher quality machine learning datasets
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Denecker, Thomas. "Bioinformatique et analyse de données multiomiques : principes et applications chez les levures pathogènes Candida glabrata et Candida albicans Functional networks of co-expressed genes to explore iron homeostasis processes in the pathogenic yeast Candida glabrata Efficient, quick and easy-to-use DNA replication timing analysis with START-R suite FAIR_Bioinfo: a turnkey training course and protocol for reproducible computational biology Label-free quantitative proteomics in Candida yeast species: technical and biological replicates to assess data reproducibility Rendre ses projets R plus accessibles grâce à Shiny Pixel: a content management platform for quantitative omics data Empowering the detection of ChIP-seq "basic peaks" (bPeaks) in small eukaryotic genomes with a web user-interactive interface A hypothesis-driven approach identifies CDK4 and CDK6 inhibitors as candidate drugs for treatments of adrenocortical carcinomas Characterization of the replication timing program of 6 human model cell lines." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASL010.

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Plusieurs évolutions sont constatées dans la recherche en biologie. Tout d’abord, les études menées reposent souvent sur des approches expérimentales quantitatives. L’analyse et l’interprétation des résultats requièrent l’utilisation de l’informatique et des statistiques. Également, en complément des études centrées sur des objets biologiques isolés, les technologies expérimentales haut débit permettent l’étude des systèmes (caractérisation des composants du système ainsi que des interactions entre ces composants). De très grandes quantités de données sont disponibles dans les bases de données publiques, librement réutilisables pour de nouvelles problématiques. Enfin, les données utiles pour les recherches en biologie sont très hétérogènes (données numériques, de textes, images, séquences biologiques, etc.) et conservées sur des supports d’information également très hétérogènes (papiers ou numériques). Ainsi « l’analyse de données » s’est petit à petit imposée comme une problématique de recherche à part entière et en seulement une dizaine d’années, le domaine de la « Bioinformatique » s’est en conséquence totalement réinventé. Disposer d’une grande quantité de données pour répondre à un questionnement biologique n’est souvent pas le défi principal. La vraie difficulté est la capacité des chercheurs à convertir les données en information, puis en connaissance. Dans ce contexte, plusieurs problématiques de recherche en biologie ont été abordées lors de cette thèse. La première concerne l’étude de l’homéostasie du fer chez la levure pathogène Candida glabrata. La seconde concerne l’étude systématique des modifications post-traductionnelles des protéines chez la levure pathogène Candida albicans. Pour ces deux projets, des données « omiques » ont été exploitées : transcriptomiques et protéomiques. Des outils bioinformatiques et des outils d’analyses ont été implémentés en parallèle conduisant à l’émergence de nouvelles hypothèses de recherche en biologie. Une attention particulière et constante a aussi été portée sur les problématiques de reproductibilité et de partage des résultats avec la communauté scientifique
Biological research is changing. First, studies are often based on quantitative experimental approaches. The analysis and the interpretation of the obtained results thus need computer science and statistics. Also, together with studies focused on isolated biological objects, high throughput experimental technologies allow to capture the functioning of biological systems (identification of components as well as the interactions between them). Very large amounts of data are also available in public databases, freely reusable to solve new open questions. Finally, the data in biological research are heterogeneous (digital data, texts, images, biological sequences, etc.) and stored on multiple supports (paper or digital). Thus, "data analysis" has gradually emerged as a key research issue, and in only ten years, the field of "Bioinformatics" has been significantly changed. Having a large amount of data to answer a biological question is often not the main challenge. The real challenge is the ability of researchers to convert the data into information and then into knowledge. In this context, several biological research projects were addressed in this thesis. The first concerns the study of iron homeostasis in the pathogenic yeast Candida glabrata. The second concerns the systematic investigation of post-translational modifications of proteins in the pathogenic yeast Candida albicans. In these two projects, omics data were used: transcriptomics and proteomics. Appropriate bioinformatics and analysis tools were developed, leading to the emergence of new research hypotheses. Particular and constant attention has also been paid to the question of data reproducibility and sharing of results with the scientific community
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Bonnevie, Tristan. "Nouveaux outils et optimisation des outils existants pour la réhabilitation respiratoire et la ré-autonomisation des patients atteints d'un handicap ventilatoire. Chronic obstructive pulmonary disease Six-minute stepper test to set pulmonary rehabilitation intensity in patients with COPD - a retrospective study Can the six-minute stepper test be used to determine the intensity of endurance training in early stage COPD : a multicenter observational study The six-minute stepper test is related to muscle strength but cannot substitute for the one repetition maximum to prescribe strength training in patients with COPD People undertaking pulmonary rehabilitation are willing and able to provide accurate data via a remote pulse oximetry system : a multicentre observational study Mid-term effects of pulmonary rehabilitation on cognitive function in people with severe chronic obstructive pulmonary disease NIV is not adequate for high intensity endurance in COPD Home-based neuromuscular electrical stimulation as an add-on to pulmonary rehabilitation does not provide further benefits in patients with chronic obstructive pulmonary disease : a multicenter randomized trial Lumbar transcutaneous electrical nerve stimulation to improve exercise performance in COPD patients Advanced telehealth technology improves in-home pulmonary rehabilitation for people with stable chronic obstructive pulmonary disease : a systematic review Nasal high flow for stable patients with chronic obstructive pulmonary disease : a systematic review and meta-analysis." Thesis, Normandie, 2020. http://www.theses.fr/2020NORMR024.

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La réhabilitation respiratoire (RR) est recommandée dans la prise en soin des patients atteints d’un handicap ventilatoire afin d’améliorer leur qualité de vie. Malgré une efficacité clairement établie, très peu de patients en bénéficient et les modalités optimales d’entrainement restent à définir. L’utilisation des outils existants et des nouveaux outils pour optimiser l’accès au programme et ses effets représentent des développements majeurs qui méritent d’être évalués. Dans le cadre de cette thèse, nous avons cherché à aborder ces deux problématiques (1) en tentant de proposer un modèle de RR délocalisée hors des centres tout en évaluant les freins à ce modèle et (2) en explorant la place de différents adjuvants à la RR afin d’en optimiser les bénéfices. Dans la première partie, nous avons montré, à travers plusieurs études rétrospectives et une contribution originale prospective multicentrique, que le test stepper de six minutes peut être utilisé pour prescrire l’entrainement en endurance, particulièrement pour les patients présentant une forme légère à modérée de bronchopneumopathie chronique obstructive (BPCO), mais pas pour prescrire le renforcement musculaire. Par ailleurs, nous avons montré dans une population de 105 patients adressés en RR que l’utilisation d’un dispositif de telemonitoring était faisable, valide et largement accepté. Enfin, nous avons exploré la prévalence des dysfonctions cognitives, autre conséquence systémique de la BPCO qui pourrait compromettre la délocalisation du programme, et avons montré que cette prévalence était très élevée (environ 75% des patients) mais que ces troubles cognitifs pouvaient s’améliorer après la RR et ne semblaient pas influencer l’utilisation d’un dispositif de telemonitoring. Dans la seconde partie, nous avons évalué la place de différents adjuvants à la RR utilisés pour en potentialiser les bénéfices. Dans une étude en cross-over menée chez 21 patients atteints de BPCO, nous avons montré que la ventilation non invasive ne permettait pas d’améliorer la capacité à l’exercice en endurance en raison d’une limitation technologique du ventilateur. A travers une étude contrôlée randomisée multicentrique menée chez 73 patients atteints de BPCO sévère à très sévère, nous avons montré que la stimulation électrique excito-motrice à domicile, réalisée en plus d’un programme de RR, n’apportait pas davantage de bénéfices sur la qualité de vie ou la capacité à l’exercice. Enfin, à travers une étude randomisée en cross-over et en double aveugle menée chez 10 patients, nous n’avons pas pu montrer l’intérêt de la stimulation électrique nerveuse transcutanée pour améliorer leur capacité à l’exercice en endurance. Enfin, dans la dernière partie, nous avons présenté les recherches actuellement menées au sein de notre laboratoire, faisant suite aux contributions originales décrites au cours de cette thèse, ainsi que de nouvelles pistes de recherche afin de poursuivre les thématiques explorées. Ainsi, deux revues de littérature et méta-analyses (l’une d’elle portant sur le haut débit nasal et l’autre sur l’utilisation des technologies de santé avancées pour réaliser la RR respiratoire à domicile) serviront de base pour de futurs travaux
Pulmonary rehabilitation (PR) is recommended in the management of subjects with ventilatory impairment to improve their quality of life. Although a large body of evidence support its use, only few subjects benefit from it and the optimal training modality has not been determined yet. In this context, the use of new and existing tools to optimize access as well as the effects of the program are major developments that deserve to be studied. As part of this thesis, we sought to explore these two major issues (1) by considering a rehabilitation model relocated outside the PR centres while assessing the obstacles to this model and (2) exploring the effectiveness of different add-on to PR in further optimizing the benefits of the program. In the first part, we have shown, through several retrospective studies and an original prospective multicentre contribution, that the six-minute stepper test can be used to prescribe endurance training, particularly for those patients with a mild to moderate chronic obstructive pulmonary disease (COPD), but not to prescribe muscle strengthening. Furthermore, we have shown in a cohort of 105 subjects referred for PR that the use of a remote tele monitoring device was feasible, valid and widely accepted. Finally, we explored the prevalence of cognitive dysfunction, another systemic impairment of COPD that could compromise the relocation of the program, and showed that it was a very common condition (around 75% of the subjects) but that it could improve following PR and did not seem to influence the use of a remote tele monitoring device. In the second part, we evaluated the effects of different add-on used to potentiate the benefits of the PR program. In a cross-over study of 21 COPD patients, we showed that non-invasive ventilation did not improve endurance exercise capacity due to technological limitation of the ventilator. Through a multicentre randomized controlled study carried out in 73 patients with severe to very severe COPD, we have shown that neuromuscular electrical stimulation at home, performed in addition to a PR program, did not provide further benefits on quality of life or exercise capacity. Finally, through a randomized cross-over double-blind study carried out in 10 patients, we were unable to show the effectiveness of transcutaneous nerve electrical stimulation in improving their endurance exercise capacity. Finally, in a last part, we highlighted the research currently carried out in our laboratory following the original contributions described during this thesis, as well as new area of research in order to pursue the themes explored. Thus, two systematic reviews and meta-analysis (the first about nasal high flow therapy in subjects with stable COPD and the second about the use of advanced telehealth technologies to deliver PR) will serve as a basis for future research
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Книги з теми "Training set analysi"

1

Parker, A. Rani. Another point of view: A manual on gender analysis training for grassroots workers : training manual. New York: UNIFEM, 1993.

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Parker, A. Rani. Another point of view: A gender analysis training manual for grassroots workers. New York, N. Y: UNIFEM, 1993.

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Fuchsloch, Christine. Das Verbot der mittelbaren Geschlechtsdiskriminierung: Ableitung, Analyse und exemplarische Anwendung auf staatliche Berufsausbildungsförderung. Baden-Baden: Nomos, 1995.

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Boltanova, Elena, Nataliya Bagrova, Roman Bevzenko, Svetlana Butenko, Eduard Gavrilov, Oles' Gruzdev, Valentina Kvanina, et al. Civil right. Common part. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1079846.

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The textbook contains three sections ("General provisions", "Property law", "General provisions of the law of obligations"), which systematically and consistently set out the relevant topics of the training course of the General part of civil law and include an analysis of judicial practice. Meets the requirements of the Federal state educational standards of higher education of the latest generation. For students of educational organizations of higher education who study in the direction of training 40.03.01 "Law" and specialty 40.05.01 "Legal support of national security", as well as for undergraduates, postgraduates, applicants and other persons interested in civil law.
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Weber, Susanne. Frauenförderung: Akteure, Diagnosen und Therapievorschläge : Analyse und Kritik am Beispiel betrieblicher Weiterbildung. Bielefeld: Kleine Verlag, 1991.

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6

Zhukova, Galina, and Margarita Rushaylo. Mathematical analysis in examples and tasks. Part 1. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1072156.

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The purpose of the textbook is to help students to master basic concepts and research methods used in mathematical analysis. In part 1 of the proposed cycle of workshops on the following topics: theory of sets, theory of limits, theory of continuous functions; differential calculus of functions of one variable, its application to the study of the properties of functions and graph; integral calculus of functions of one variable: indefinite, definite, improper integrals; hyperbolic functions; applications of integral calculus to the analysis and solution of practical problems. For the development of each topic the necessary theoretical and background material, reviewed a large number of examples with detailed analysis and solutions, the options for independent work. For self-training and quality control of the obtained knowledge provides exercises and problems with answers and guidance. For teachers, students and postgraduate students studying advanced mathematics.
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Pustovaya, Larisa, and Besik Meshi. Methods and devices of environmental control. Environmental monitoring. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1058966.

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The textbook is designed to meet the need for a highly specialized set of professional knowledge necessary for the training of highly qualified personnel of environmental specialties. The presented material allows us to get an idea of the organization and effective implementation of environmental monitoring, the organization of industrial environmental control and management, the analysis of characteristics and changes of objects of economic activity using the necessary methods and means of such research. The basic principles of sampling and sample preparation, modern methods and means of environmental monitoring, the basics of metrological and laboratory-analytical support for environmental control are described. The training material is accompanied by up-to-date references to the current legislative framework of the Russian Federation. Meets the requirements of the federal state educational standards of higher education of the latest generation and the current bachelor's degree program in the areas of training "Technosphere Safety", "Biotechnical systems and Technologies". It can be useful and interesting for students, undergraduates, postgraduates, as well as teachers specializing in environmental safety.
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African Women Development and Communication Network, ed. FEMNET training manual on gender based violence: Building skills, tools and concepts, and using them for reflection, analysis, planning, and application against gender based violence. Nairobi, Kenya: African Women's Development and Communication Network, 2003.

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9

Training of Trainers in Gender Analysis Workshop (1991 Lake Bogoria Hotel, Kenya). Report of the Training of Trainers in Gender Analysis Workshop: Held at Lake Bogoria Hotel, 18th-27th of June 1991. [Nairobi]: African Women Development and Communication Network (FEMNET), 1991.

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10

Leonova, Anna, Larisa Baykova, Galina Vyalikova, and Svetlana Ermolaeva. Development of the concept of teacher personality formation in the history and theory of higher pedagogical education in the 90s of the twentieth century. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1876370.

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The monograph provides a historical and pedagogical analysis of the development of the concept of the formation of the teacher's personality in the 90s of the twentieth century. The main directions, stages and trends of its development in the theory of higher pedagogical education in the specified period are presented in a generalized and holistic form. New materials have been introduced into scientific circulation, revealing the essence of the development process of the concept of teacher personality formation, obtained as a result of the use of a set of research methods. It is intended for researchers in the field of education, teachers, graduate students and students of higher pedagogical educational institutions, employees of the system of training and retraining of pedagogical personnel.
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Частини книг з теми "Training set analysi"

1

Chakraborty, Debrup. "Neural Network Ensembles from Training Set Expansions." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 629–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10268-4_74.

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Cantador, Iván, and José R. Dorronsoro. "Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning." In Pattern Recognition and Image Analysis, 43–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11492542_6.

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Castrillón-Santana, Modesto, Daniel Hernández-Sosa, and Javier Lorenzo-Navarro. "Viola-Jones Based Detectors: How Much Affects the Training Set?" In Pattern Recognition and Image Analysis, 297–304. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21257-4_37.

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Franc, Vojtěch, and Václav Hlaváč. "Greedy Algorithm for a Training Set Reduction in the Kernel Methods." In Computer Analysis of Images and Patterns, 426–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45179-2_53.

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Staufer, Petra, and Manfred M. Fischer. "Spectral Pattern Recognition by a Two-Layer Perceptron: Effects of Training Set Size." In Neurocomputation in Remote Sensing Data Analysis, 105–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59041-2_12.

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Abdulhak, Sami Abduljalil, Walter Riviera, Nicola Zeni, Matteo Cristani, Roberta Ferrario, and Marco Cristani. "Semantic-Analysis Object Recognition: Automatic Training Set Generation Using Textual Tags." In Computer Vision - ECCV 2014 Workshops, 309–22. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16181-5_22.

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Martin-Gutierrez, S., J. C. Losada, and R. M. Benito. "Semi-Automatic Training Set Construction for Supervised Sentiment Analysis in Polarized Contexts." In Lecture Notes in Social Networks, 177–97. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33698-1_10.

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McKenney, Susan. "CASCADE — SEA: Computer Assisted Curriculum Analysis, Design & Evaluation for Science Education in Africa." In Design Approaches and Tools in Education and Training, 225–33. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4255-7_19.

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Weiss, Mary Jane, Ksenia Gatzunis, and Wafa Aljohani. "How to Integrate Multiculturalism and Diversity Sensitivity Into the Training and Ethical Skill Set of Behavior Analysts." In Multiculturalism and Diversity in Applied Behavior Analysis, 167–79. New York, NY: Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429263873-14.

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Zhou, Yu, and Yali Wu. "Analyses on Influence of Training Data Set to Neural Network Supervised Learning Performance." In Advances in Computer Science, Intelligent System and Environment, 19–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23753-9_4.

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Тези доповідей конференцій з теми "Training set analysi"

1

Ahmad, Irfan, and Gernot A. Fink. "Training an Arabic handwriting recognizer without a handwritten training data set." In 2015 13th International Conference on Document Analysis and Recognition (ICDAR). IEEE, 2015. http://dx.doi.org/10.1109/icdar.2015.7333807.

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Johnson, Timothy H., Yigah Lhamo, Lingyan Shi, Robert R. Alfano, and Stewart Russell. "Fourier spatial frequency analysis for image classification: training the training set." In SPIE BiOS, edited by Daniel L. Farkas, Dan V. Nicolau, and Robert C. Leif. SPIE, 2016. http://dx.doi.org/10.1117/12.2212934.

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Shi-Gui Li, Xiao-Ping Li, Qian Li, Chong-Guo Chen, and Qi-Fan Yang. "The exploration of professional training mode based on Set Theory." In 2010 International Conference on Apperceiving Computing and Intelligence Analysis (ICACIA). IEEE, 2010. http://dx.doi.org/10.1109/icacia.2010.5709949.

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Silva, Gabriel de Franca Pereira e., Rafael Dueire Lins, and Cesar Gomes. "Automatic Training Set Generation for Better Historic Document Transcription and Compression." In 2014 11th IAPR International Workshop on Document Analysis Systems (DAS). IEEE, 2014. http://dx.doi.org/10.1109/das.2014.30.

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Tingting Wang and Ning Xu. "Malware variants detection based on opcode image recognition in small training set." In 2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA). IEEE, 2017. http://dx.doi.org/10.1109/icccbda.2017.7951933.

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Martin-Gutierrez, S., J. C. Losada, and R. M. Benito. "Semi-Automatic Training Set Construction for Supervised Sentiment Analysis in Political Contexts." In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2018. http://dx.doi.org/10.1109/asonam.2018.8508386.

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Liang, Guangtai, Ling Wu, Qian Wu, Qianxiang Wang, Tao Xie, and Hong Mei. "Automatic construction of an effective training set for prioritizing static analysis warnings." In the IEEE/ACM international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1858996.1859013.

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Tarasov, Dmitry A., and Oleg B. Milder. "The forward problem of spectral reflection prediction: Mutual match between framework selection and the training set volume." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2019. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0026740.

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"AUTOMATIC SELECTION OF THE TRAINING SET FOR SEMI-SUPERVISED LAND CLASSIFICATION AND SEGMENTATION OF SATELLITE IMAGES." In Special Session on Pattern Recognition Applications in Remotely Sensed Hyperspectral Image Analysis. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003855504120418.

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Bahlawan, Hilal, Mirko Morini, Michele Pinelli, Pier Ruggero Spina, and Mauro Venturini. "Development of Reliable NARX Models of Gas Turbine Cold, Warm and Hot Start-Up." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-63332.

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This paper documents the set-up and validation of nonlinear autoregressive exogenous (NARX) models of a heavy-duty single-shaft gas turbine. The considered gas turbine is a General Electric PG 9351FA located in Italy. The data used for model training are time series data sets of several different maneuvers taken experimentally during the start-up procedure and refer to cold, warm and hot start-up. The trained NARX models are used to predict other experimental data sets and comparisons are made among the outputs of the models and the corresponding measured data. Therefore, this paper addresses the challenge of setting up robust and reliable NARX models, by means of a sound selection of training data sets and a sensitivity analysis on the number of neurons. Moreover, a new performance function for the training process is defined to weigh more the most rapid transients. The final aim of this paper is the set-up of a powerful, easy-to-build and very accurate simulation tool which can be used for both control logic tuning and gas turbine diagnostics, characterized by good generalization capability.
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Звіти організацій з теми "Training set analysi"

1

Shabelnyk, Tetiana V., Serhii V. Krivenko, Nataliia Yu Rotanova, Oksana F. Diachenko, Iryna B. Tymofieieva, and Arnold E. Kiv. Integration of chatbots into the system of professional training of Masters. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4439.

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The article presents and describes innovative technologies of training in the professional training of Masters. For high-quality training of students of technical specialties, it becomes necessary to rethink the purpose, results of studying and means of teaching professional disciplines in modern educational conditions. The experience of implementing the chatbot tool in teaching the discipline “Mathematical modeling of socio-economic systems” in the educational and professional program 124 System Analysis is described. The characteristics of the generalized structure of the chatbot information system for investment analysis are presented and given: input information, information processing system, output information, which creates a closed cycle (system) of direct and feedback interaction. The information processing system is represented by accounting and analytical data management blocks. The investment analysis chatbot will help masters of the specialty system analysis to manage the investment process efficiently based on making the right decisions, understanding investment analysis in the extensive structure of financial management and optimizing risks in these systems using a working mobile application. Also, the chatbot will allow you to systematically assess the disadvantages and advantages of investment projects or the direction of activity of a system analyst, while increasing interest in performing practical tasks. A set of software for developing a chatbot integrated into training is installed: Kotlin programming, a library for network interaction Retrofit, receiving and transmitting data, linking processes using the HTTP API. Based on the results of the study, it is noted that the impact of integrating a chatbot into the training of Masters ensures the development of their professional activities, which gives them the opportunity to be competent specialists and contributes to the organization of high-quality training.
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Enscore, Susan, Dawn Morrison, Adam Smith, and Sunny Adams. Fort Huachuca ranges : a history and analysis. Engineer Research and Development Center (U.S.), December 2021. http://dx.doi.org/10.21079/11681/42720.

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Fort Huachuca Environmental and Natural Resources Division (ENRD) sent funds to ERDC-CERL to develop a historic context that assists Fort Huachuca personnel in identifying the likely history and provenance of numerous historic range features located across Fort Huachuca's training lands. The historic context will be used by cultural resources personnel to evaluate and manage the resources appropriately. Various historic training range features (e.g., structures, fragments, and items left over from previous activities) are located across the ranges of Fort Huachuca, representing its long and storied history. To help identify and catalog these features, ERDC-CERL conducted a field survey of the training ranges in 2016 in or-der to photograph the historic range features. Forty-one historic range features were identified. Researchers conducted archival research, literature reviews, and image analysis of historic and current maps and photographs to identify the 41 historic range features and place them within a chronological context of Fort Huachuca's training ranges. The report concludes with guidance on how to identify and associate sites and features within the overall historic training range chronology and evaluate them appropriately for significance and National Register of Historic Places (NRHP) eligibility.
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Volikova, Maryna M., Tetiana S. Armash, Yuliia V. Yechkalo, and Vladimir I. Zaselskiy. Practical use of cloud services for organization of future specialists professional training. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3269.

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The article is devoted to the peculiarities of the practical use of cloud services for the organization of qualitative professional training of future specialists. It is established that in order to implement state policy, there is an essential need for using various ICT, in particular cloud services, which are not only economically acceptable in the new educational environment, but also a powerful tools of obtaining new knowledge, skills and abilities. The advantages and disadvantages of using cloud services in the educational process of higher education are substantiated; the examples discuss the methods of using cloud services in the process of studying fundamental disciplines. The object of the study is the professional training of students in higher education institutions. The subject of research is the process of organizing professional training of future specialists with the use of cloud services. To achieve the set goals, a set of general scientific (analysis, synthesis, comparison) and specific scientific (bibliographic, problem-based) was used. Observation and conversation manipulation allowed to highlight the advantages and disadvantages of using cloud services and draw conclusions from the problem under investigation. The foreign experience of using cloud services has been researched and the features of the application of traditional and distance technology training abroad have been determined. It describes the use of the blog as a media-educational technology during the advent of pedagogical practice. The methods of using cloud-based services on the example of creation of a distance course “Linear algebra and analytic geometry” are considered. The prospects of research, which consist in getting acquainted with cloud technologies of the humanitarian profile future specialists at the second higher education, are determined. It has been established that the practical application of cloud technologies in the educational process will promote more qualitative and progressive learning; the formation of a close interaction between the teacher and student; development of professional skills and abilities of independent work.
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Striuk, Andrii M. Software engineering: first 50 years of formation and development. [б. в.], December 2018. http://dx.doi.org/10.31812/123456789/2880.

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The article analyzes the main stages of software engineering (SE) development. Based on the analysis of materials from the first SE conferences (1968-1969), it was determined how the software crisis prompted scientists and practitioners to join forces to form an engineering approach to programming. Differences in professional training for SE are identified. The fundamental components of the training of future software engineers are highlighted. The evolution of approaches to the design, implementation, testing and documentation of software is considered. The system scientific, technological approaches and methods for the design and construction of computer programs are highlighted. Analysis of the historical stages of the development of SE showed that despite the universal recognition of the importance of using the mathematical apparatus of logic, automata theory and linguistics when developing software, it was created empirically without its use. The factor that led practitioners to turn to the mathematical foundations of an SE is the increasing complexity of software and the inability of empirical approaches to its development and management to cope with it. The training of software engineers highlighted the problem of the rapid obsolescence of the technological content of education, the solution of which lies in its fundamentalization through the identification of the basic foundations of the industry. It is determined that mastering the basics of computer science is the foundation of vocational training in SE.
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Werny, Rafaela, Marie Reich, Miranda Leontowitsch, and Frank Oswald. EQualCare Policy Report Germany : Alone but connected? Digital (in)equalities in care work and generational relationships among older people living alone. Frankfurter Forum für interdisziplinäre Alternsforschung, Goethe-Universität Frankfurt am Main, October 2022. http://dx.doi.org/10.21248/gups.69905.

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The policy review is part of the project EQualCare: Alone but connected? Digital (in)equalities in care work and generational relationships among older people living alone, a three-year international project involving four countries: Finland, Germany, Latvia and Sweden. EQualCare interrogates inequalities by gender, cultural and socio-economic background between countries, with their different demographics and policy backgrounds. As a first step into empirical analysis, the policy review aims to set the stage for a better understanding of, and policy development on, the intersections of digitalisation with intergenerational care work and care relationships of older people living alone in Germany. The policy review follows a critical approach, in which the problems policy documents address are not considered objective entities, but rather discursively produced knowledge that renders visible some parts of the problem which is to be solved as other possible perspectives are simultaneously excluded. Twenty publicly available documents were studied to analyse the processes in which definitions of care work and digital (in)equalities are circulated, translated and negotiated between the different levels of national government, regional governments and municipalities as well as other agencies in Germany. The policy review consists of two parts: a background chapter providing information on the social structure of Germany, including the historical development of Germany after the Second World War, its political structure, information on the demographic situation with a focus on the 60+ age group, and the income of this age group. In addition, the background presents the structure of work and welfare, the organisation of care for old people, and the state of digitalisation in Germany. The analysis chapter includes a description of the method used as well as an overview of the documents chosen and analysed. The focus of this chapter is on the analysis of official documents that deal with the interplay of living alone in old age, care, and digitalisation. The analysis identified four themes: firstly, ageing is framed largely as a challenge to society, whereas digitalisation is framed as a potential way to tackle social challenges, such as an ageing society. Secondly, challenges of ageing, such as need of care, are set at the individual level, requiring people to organise their care within their own families and immediate social networks, with state support following a principle of subsidiarity. Thirdly, voluntary peer support provides the basis for addressing digital support needs and strategies. Publications by lobby organisations highlight the important work done by voluntary peer support for digital training and the benefits this approach has; they also draw attention to the over-reliance on this form of unpaid support and call for an increase in professional support in ensuring all older people are supported in digital life. Fourthly, ageing as a hinderance to participation in digital life is seen as an interim challenge among younger old people already online.
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Shyshkina, Mariya, Uliana Kohut, and Maiia Popel. The Design and Evaluation of the Cloud-based Learning Components with the Use of the Systems of Computer Mathematics. Sun SITE Central Europe, May 2018. http://dx.doi.org/10.31812/0564/2253.

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In the article the problems of the systems of computer mathematics use as a tool for the students learning and research activities support are investigated. The promising ways of providing access to the mathematical software in the university learning and research environment are considered. The special aspects of pedagogical applications of these systems to support operations research study in the process of bachelors of informatics training are defined. The design and evaluation of the cloud-based learning components with the use of the systems of computer mathematics (on the example of Maxima system) as enchasing the investigative approach to learning of engineering and mathematics disciplines and increasing the pedagogical outcomes is justified. The set of psychological and pedagogical and also technological criteria of evaluation is substantiated. The results of pedagogical experiment are provided. The analysis and evaluation of existing experience of mathematical software use both in local and cloud-based settings is proposed.
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Шестопалова (Бондар), Катерина Миколаївна, and Олена Петрівна Шестопалова. Support of Inclusive Education in Kryvyi Rig. Padua, Italy, 2019. http://dx.doi.org/10.31812/123456789/3234.

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An analysis of the system of training, the implementation of a pilot project "SUPPORT OF INCLUSIVE EDUCATION IN KRYVYI RIG". The team that worked in project by GIZ (Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH) create strategy for training teachers that include 6 modules: 1) regulatory and legislative framework for inclusive education; 2) inclusion ethics and philosophy; universal design and reasonable accommodation of educational space; 3) support team: interdisciplinary interation; algorithm of provision of psycho-pedagogical, corrective and development services; 4) individualization of the educational process; 5) competences of the teacher in inclusive education: strategies of teaching in inclusive education, method of collaborative learning, integration of technology into the discipline teaching methods, peculiarities of formation of mathematical concepts in children with special needs, difficulties with reading mastering and correction of dyslexia in children with special educational needs, correction and development of sense side of reading, development of intelligence of a child with SEN with the help of kinesiology methods, cooperation of teacher, psychologist and parents of a child with special educational needs, five levels can be associated with parents engagement; 6) work with children with behavior problems; resource room as the method of a child specific sensor needs satisfaction.
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Enria, Luisa. Citizen Ethnography in Outbreak Response: Guidance for Establishing Networks of Researchers. SSHAP, May 2022. http://dx.doi.org/10.19088/sshap.2022.001.

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This guidance outlines the steps for designing and implementing ethnographic research which is led by citizens. It explains what citizen ethnography is and then sets out what should be considered throughout the process of working with networks of citizen researchers, from recruitment, training and supporting them to collect and analyse ethnographic data, and how to transform the insights they gain to support preparedness and responses for disease outbreaks. It also provides suggestions for further resources to support the process. The guidance is for social scientists who would like to integrate citizen-led ethnographic approaches into their research, and for practitioners working on community engagement or other outbreak responses, who seek to use social science insights in their operations. It was written for SSHAP by Luisa Enria (London School of Hygiene & Tropical Medicine). It is the responsibility of SSHAP.
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Edwards, Frannie, Kaikai Liu, Amanda Lee Hughes, Jerry Zeyu Gao, Dan Goodrich, Alan Barner, and Robert Herrera. Best Practices in Disaster Public Communications: Evacuation Alerting and Social Media. Mineta Transportation Institute, December 2022. http://dx.doi.org/10.31979/mti.2022.2254.

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This research project examines the current state of the practice for disaster public communication, the distrust of government, the training available to public information officers, and the literature available to guide the design of effective public outreach messaging, especially for rapid on-set events. Growing distrust in government had led to lack of public confidence in public agency messaging during emergencies, yet public agency public information officers are using multiple pathways, including both traditional and social media resources, to try to reach impacted communities effectively. The introduction explains the development of wildfire events in the West and their context. A literature review displays the sociological and political research that guides the development of public outreach, warning and evacuation. The findings display the SCU Complex Fire and CZU Complex Fire of 2020 as case studies of outreach efforts during rapid onset wildfire events and explains techniques of data scraping that could enhance public messaging. The analysis categorizes a variety of best practices in disaster communications. The project concludes with a white paper outlining a pathway toward creating a cell phone app that would provide event, time and location specific information about a disaster event, using official sources and social media.
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Galili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs, and Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, October 1994. http://dx.doi.org/10.32747/1994.7570549.bard.

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The objectives of this project were to develop nondestructive methods for detection of internal properties and firmness of fruits and vegetables. One method was based on a soft piezoelectric film transducer developed in the Technion, for analysis of fruit response to low-energy excitation. The second method was a dot-matrix piezoelectric transducer of North Carolina State University, developed for contact-pressure analysis of fruit during impact. Two research teams, one in Israel and the other in North Carolina, coordinated their research effort according to the specific objectives of the project, to develop and apply the two complementary methods for quality control of agricultural commodities. In Israel: An improved firmness testing system was developed and tested with tropical fruits. The new system included an instrumented fruit-bed of three flexible piezoelectric sensors and miniature electromagnetic hammers, which served as fruit support and low-energy excitation device, respectively. Resonant frequencies were detected for determination of firmness index. Two new acoustic parameters were developed for evaluation of fruit firmness and maturity: a dumping-ratio and a centeroid of the frequency response. Experiments were performed with avocado and mango fruits. The internal damping ratio, which may indicate fruit ripeness, increased monotonically with time, while resonant frequencies and firmness indices decreased with time. Fruit samples were tested daily by destructive penetration test. A fairy high correlation was found in tropical fruits between the penetration force and the new acoustic parameters; a lower correlation was found between this parameter and the conventional firmness index. Improved table-top firmness testing units, Firmalon, with data-logging system and on-line data analysis capacity have been built. The new device was used for the full-scale experiments in the next two years, ahead of the original program and BARD timetable. Close cooperation was initiated with local industry for development of both off-line and on-line sorting and quality control of more agricultural commodities. Firmalon units were produced and operated in major packaging houses in Israel, Belgium and Washington State, on mango and avocado, apples, pears, tomatoes, melons and some other fruits, to gain field experience with the new method. The accumulated experimental data from all these activities is still analyzed, to improve firmness sorting criteria and shelf-life predicting curves for the different fruits. The test program in commercial CA storage facilities in Washington State included seven apple varieties: Fuji, Braeburn, Gala, Granny Smith, Jonagold, Red Delicious, Golden Delicious, and D'Anjou pear variety. FI master-curves could be developed for the Braeburn, Gala, Granny Smith and Jonagold apples. These fruits showed a steady ripening process during the test period. Yet, more work should be conducted to reduce scattering of the data and to determine the confidence limits of the method. Nearly constant FI in Red Delicious and the fluctuations of FI in the Fuji apples should be re-examined. Three sets of experiment were performed with Flandria tomatoes. Despite the complex structure of the tomatoes, the acoustic method could be used for firmness evaluation and to follow the ripening evolution with time. Close agreement was achieved between the auction expert evaluation and that of the nondestructive acoustic test, where firmness index of 4.0 and more indicated grade-A tomatoes. More work is performed to refine the sorting algorithm and to develop a general ripening scale for automatic grading of tomatoes for the fresh fruit market. Galia melons were tested in Israel, in simulated export conditions. It was concluded that the Firmalon is capable of detecting the ripening of melons nondestructively, and sorted out the defective fruits from the export shipment. The cooperation with local industry resulted in development of automatic on-line prototype of the acoustic sensor, that may be incorporated with the export quality control system for melons. More interesting is the development of the remote firmness sensing method for sealed CA cool-rooms, where most of the full-year fruit yield in stored for off-season consumption. Hundreds of ripening monitor systems have been installed in major fruit storage facilities, and being evaluated now by the consumers. If successful, the new method may cause a major change in long-term fruit storage technology. More uses of the acoustic test method have been considered, for monitoring fruit maturity and harvest time, testing fruit samples or each individual fruit when entering the storage facilities, packaging house and auction, and in the supermarket. This approach may result in a full line of equipment for nondestructive quality control of fruits and vegetables, from the orchard or the greenhouse, through the entire sorting, grading and storage process, up to the consumer table. The developed technology offers a tool to determine the maturity of the fruits nondestructively by monitoring their acoustic response to mechanical impulse on the tree. A special device was built and preliminary tested in mango fruit. More development is needed to develop a portable, hand operated sensing method for this purpose. In North Carolina: Analysis method based on an Auto-Regressive (AR) model was developed for detecting the first resonance of fruit from their response to mechanical impulse. The algorithm included a routine that detects the first resonant frequency from as many sensors as possible. Experiments on Red Delicious apples were performed and their firmness was determined. The AR method allowed the detection of the first resonance. The method could be fast enough to be utilized in a real time sorting machine. Yet, further study is needed to look for improvement of the search algorithm of the methods. An impact contact-pressure measurement system and Neural Network (NN) identification method were developed to investigate the relationships between surface pressure distributions on selected fruits and their respective internal textural qualities. A piezoelectric dot-matrix pressure transducer was developed for the purpose of acquiring time-sampled pressure profiles during impact. The acquired data was transferred into a personal computer and accurate visualization of animated data were presented. Preliminary test with 10 apples has been performed. Measurement were made by the contact-pressure transducer in two different positions. Complementary measurements were made on the same apples by using the Firmalon and Magness Taylor (MT) testers. Three-layer neural network was designed. 2/3 of the contact-pressure data were used as training input data and corresponding MT data as training target data. The remaining data were used as NN checking data. Six samples randomly chosen from the ten measured samples and their corresponding Firmalon values were used as the NN training and target data, respectively. The remaining four samples' data were input to the NN. The NN results consistent with the Firmness Tester values. So, if more training data would be obtained, the output should be more accurate. In addition, the Firmness Tester values do not consistent with MT firmness tester values. The NN method developed in this study appears to be a useful tool to emulate the MT Firmness test results without destroying the apple samples. To get more accurate estimation of MT firmness a much larger training data set is required. When the larger sensitive area of the pressure sensor being developed in this project becomes available, the entire contact 'shape' will provide additional information and the neural network results would be more accurate. It has been shown that the impact information can be utilized in the determination of internal quality factors of fruit. Until now,
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